Show simple item record

dc.contributor.advisorHaris N. Koutsopoulos and Mikel E. Murga.en_US
dc.contributor.authorMachlab, Farah J. (Farah Jacinthe)en_US
dc.contributor.otherMassachusetts Institute of Technology. Department of Civil and Environmental Engineering.en_US
dc.date.accessioned2014-09-19T21:37:36Z
dc.date.available2014-09-19T21:37:36Z
dc.date.copyright2014en_US
dc.date.issued2014en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/90064
dc.descriptionThesis: S.M. in Transportation, Massachusetts Institute of Technology, Department of Civil and Environmental Engineering, 2014.en_US
dc.descriptionCataloged from PDF version of thesis.en_US
dc.descriptionIncludes bibliographical references (pages 142-144).en_US
dc.description.abstractBus priority strategies provide preferential treatment to buses operating in mixed traffic. This thesis aims at developing a methodology for identifying locations for potential bus priority implementation, referred to as hot spots. While hot spots can occur at various spatial levels, the research focuses on identifying hot spots at the intersection level. Several measures are developed that describe the performance of bus routes through an intersection. This research focused on measuring the running time variability, speed, and delay of routes through an intersection. Using these route performance measures, two intersection-level measures are defined. The first is an aggregate measure which weighs individual route performance by the number of trips made through the intersection, and the second is a normalized range measure that characterizes the amount of variation among routes. A methodology for identifying hot spot intersections using a ranking approach is proposed. Intersections that are ranked at the top in all aggregate measures are identified as hot spots, as well as those that are top ranking in all normalized range measures. The final list of hot spots also includes intersections that are top ranking in individual measures but were not selected by the combined ranking. The methodology was applied to the London network and the resulting list of intersection hot spots was compared with a list of hot spots determined by Transport for London, London's public transit agency. This research also aimed at understanding the causes that influence overall route performance. A number of models were estimated using traffic and operating characteristics, in addition to route and ridership attributes of a sample of routes in London. The results suggested that traffic and intersection delay are significant contributors to decreased speeds, and bus lanes with lower bus occupancy are effective in increasing speeds.en_US
dc.description.statementofresponsibilityby Farah J. Machlab.en_US
dc.format.extent144 pagesen_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582en_US
dc.subjectCivil and Environmental Engineering.en_US
dc.titleA methodology for identifying potential locations for bus priority treatments in the London Networken_US
dc.typeThesisen_US
dc.description.degreeS.M. in Transportationen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Civil and Environmental Engineering
dc.identifier.oclc890141131en_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record